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1708.06131
Cited By
Evasion Attacks against Machine Learning at Test Time
21 August 2017
Battista Biggio
Igino Corona
Davide Maiorca
B. Nelson
Nedim Srndic
Pavel Laskov
Giorgio Giacinto
Fabio Roli
AAML
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Papers citing
"Evasion Attacks against Machine Learning at Test Time"
36 / 36 papers shown
Title
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
Hossein Khalili
Seongbin Park
Venkat Bollapragada
Nader Sehatbakhsh
AAML
85
0
0
22 May 2025
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution
Yihao Huang
Xin Luo
Yihao Huang
Felix Juefei-Xu
Xiaojun Jia
Weikai Miao
G. Pu
Yang Liu
80
2
0
06 Mar 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
Li Yang
Mirna El Rajab
Abdallah Shami
Sami Muhaidat
103
7
0
28 Feb 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
169
0
0
21 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Emanuele Ballarin
A. Ansuini
Luca Bortolussi
AAML
94
0
0
20 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks
Jon Vadillo
Roberto Santana
J. A. Lozano
Marta Z. Kwiatkowska
BDL
AAML
98
0
0
17 Feb 2025
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
Mohammed Aledhari
Rehma Razzak
Mohamed Rahouti
Abbas Yazdinejad
R. Parizi
Basheer Qolomany
Mohsen Guizani
Junaid Qadir
Ala I. Al-Fuqaha
AAML
187
1
0
06 Feb 2025
Enhancing Robust Fairness via Confusional Spectral Regularization
Gaojie Jin
Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
139
1
0
22 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers
Matan Ben-Tov
Daniel Deutch
Nave Frost
Mahmood Sharif
AAML
147
0
0
20 Jan 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond
Yuzheng Hu
Pingbang Hu
Han Zhao
Jiaqi W. Ma
TDI
157
4
0
10 Jan 2025
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based Search
Matan Ben-Tov
Mahmood Sharif
RALM
77
1
0
31 Dec 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks
Emanuele Ledda
Giovanni Scodeller
Daniele Angioni
Giorgio Piras
Antonio Emanuele Cinà
Giorgio Fumera
Battista Biggio
Fabio Roli
AAML
87
1
0
29 Oct 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
Song Xia
Wenhan Yang
Yi Yu
Xun Lin
Henghui Ding
Lingyu Duan
Xudong Jiang
AAML
SILM
89
6
0
26 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li
Yuanzhi Li
OOD
46
2
0
11 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
Jiahao Lu
Yifan Zhang
Qiuhong Shen
Xinchao Wang
Shuicheng Yan
3DGS
75
1
0
10 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yongyi Su
Yushu Li
Nanqing Liu
Kui Jia
Xulei Yang
Chuan-Sheng Foo
Xun Xu
TTA
AAML
69
1
0
07 Oct 2024
On Using Certified Training towards Empirical Robustness
Alessandro De Palma
Serge Durand
Zakaria Chihani
François Terrier
Caterina Urban
OOD
AAML
56
1
0
02 Oct 2024
Certified Causal Defense with Generalizable Robustness
Yiran Qiao
Yu Yin
Chen Chen
Jing Ma
AAML
OOD
CML
111
0
0
28 Aug 2024
Does Refusal Training in LLMs Generalize to the Past Tense?
Maksym Andriushchenko
Nicolas Flammarion
86
31
0
16 Jul 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
Meiyu Zhong
Ravi Tandon
55
3
0
03 Jul 2024
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
Vaclav Voracek
AAML
54
2
0
25 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
95
1
0
21 Jun 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples
M. Kozák
Christian Scano
Dmitrijs Trizna
Fabio Roli
AAML
54
0
0
04 May 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà
Jérôme Rony
Maura Pintor
Christian Scano
Ambra Demontis
Battista Biggio
Ismail Ben Ayed
Fabio Roli
ELM
AAML
SILM
69
9
0
30 Apr 2024
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
AAML
113
186
0
02 Apr 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Daniele Angioni
Christian Scano
Maura Pintor
Luca Oneto
Davide Anguita
Battista Biggio
Fabio Roli
AAML
63
2
0
27 Feb 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
Xiaoyun Xu
Shujian Yu
Jingzheng Wu
S. Picek
AAML
54
0
0
08 Dec 2023
Certifying LLM Safety against Adversarial Prompting
Aounon Kumar
Chirag Agarwal
Suraj Srinivas
Aaron Jiaxun Li
Soheil Feizi
Himabindu Lakkaraju
AAML
45
182
0
06 Sep 2023
Adversarial Detection by Approximation of Ensemble Boundary
T. Windeatt
AAML
79
0
0
18 Nov 2022
Energy-Latency Attacks via Sponge Poisoning
Antonio Emanuele Cinà
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
SILM
84
29
0
14 Mar 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Maura Pintor
Daniele Angioni
Angelo Sotgiu
Christian Scano
Ambra Demontis
Battista Biggio
Fabio Roli
AAML
49
51
0
07 Mar 2022
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
FedML
MLAU
MIACV
AAML
93
135
0
10 Mar 2020
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang
Hongcheng Li
Miaoqiang Su
Xirong Li
Wenchang Shi
Xiaofeng Wang
AAML
71
216
0
23 May 2017
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
36
3,656
0
08 Feb 2016
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
60
1,580
0
27 Jun 2012
Query Strategies for Evading Convex-Inducing Classifiers
B. Nelson
Benjamin I. P. Rubinstein
Ling Huang
A. Joseph
Steven J. Lee
Satish Rao
J. D. Tygar
69
124
0
03 Jul 2010
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